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2018. Aquatic life in {Neotropical} rainforest canopies: {Techniques} using artificial phytotelmata to study the invertebrate communities inhabiting therein. Comptes Rendus Biologies. 341:20–27.
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2018. Assessing the performance of indicators resulting from three-component {Freeman}–{Durden} polarimetric {SAR} interferometry decomposition at {P}-and {L}-band in estimating tropical forest aboveground biomass. International Journal of Remote Sensing. 41:433–454.
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2020. Assessing timber volume recovery after disturbance in tropical forests – {A} new modelling framework. Ecological Modelling. 384:353–369.
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2018. Asymmetric {Competition} {Can} {Shape} the {Size} {Distribution} of {Trees} in a {Natural} {Tropical} {Forest}. Forest Science. 65:562–569.
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2019. Atmospheric deposition of elements and its relevance for nutrient budgets of tropical forests. Biogeochemistry. 149:175–193.
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2020. Basic wood density variations of {Parkia} velutina {Benoist}, a long-lived heliophilic {Neotropical} rainforest tree. Bois et Forêts des Tropiques. 335:59–69.
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2018. Beyond species richness and biomass: {Impact} of selective logging and silvicultural treatments on the functional composition of a neotropical forest. Forest Ecology and Management. 433:528–534.
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2019. Biomass estimation in dense tropical forest using multiple information from single-baseline {P}-band {PolInSAR} data. Remote Sensing of Environment. 221:489–507.
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2019. The {BIOMASS} {Level} 2 {Prototype} {Processor}: {Design} and {Experimental} {Results} of {Above}-{Ground} {Biomass} {Estimation}. Remote Sensing. 12:985.
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2020. Biophysical dependences among functional wood traits. Functional Ecology.
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2018. Biotic and abiotic determinants of the formation of ant mosaics in primary {Neotropical} rainforests. Ecological Entomology. 44:560–570.
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2019. Can light-saturated photosynthesis in lowland tropical forests be estimated by one light level? Biotropica. 52:1183–1193.
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2020. Canopy {Area} of {Large} {Trees} {Explains} {Aboveground} {Biomass} {Variations} across {Nine} {Neotropical} {Forest} {Landscapes}. Biogeosciences Discussions. :1–38.
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2018. Comparative {Analysis} of {Forest} {Biomass} {Estimation} using {SAR} {Tomographic} {Techniques}. 2019 {IEEE} {MTT}-{S} {International} {Microwave} and {RF} {Conference} ({IMARC}). :1–5.
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2019. A {Comparative} {Assessment} of the {Performance} of {Individual} {Tree} {Crowns} {Delineation} {Algorithms} from {ALS} {Data} in {Tropical} {Forests}. Remote Sensing. 11:1086.
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2019. Comparision of {Methods} for {Polarimetric} {SAR} {Tomography} with {Small} {Number} of {Baselines} in {Forested} {Areas}. Chinese Journal of Electronics. 28:1073–1079.
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2019. Comparison of {Aboveground} {Biomass} {Estimation} {From} {InSAR} and {LiDAR} {Canopy} {Height} {Models} in {Tropical} {Forests}. IEEE Geoscience and Remote Sensing Letters. 17:367–371.
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2020. Compositional response of {Amazon} forests to climate change. Global Change Biology.
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2018. Contributions of bark and tension wood and role of the {G}-layer lignification in the gravitropic movements of 21 tropical tree species. Annals of Forest Science. 76:107.
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2019. Coordination and trade‐offs among hydraulic safety, efficiency and drought avoidance traits in {Amazonian} rainforest canopy tree species. New Phytologist.
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2018. Cuticular hydrocarbons as potential mediators of cryptic species divergence in a mutualistic ant association. Ecology and Evolution. 9:9160–9176.
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2019. Different “metabolomic niches” of the highly diverse tree species of the {French} {Guiana} rainforests. Scientific Reports. 10:6937.
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